README FILE for
Mich�le Belot & V. Bhaskar & Jeroen van de Ven, 2012. "Can Observers Predict Trustworthiness?," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 246-259, 07.

SOFTWARE REQUIREMENTS: STATA 10, operating under MICROSOFT WINDOWS 7

DESCRIPTION OF FILES:
1) "do file Review of Economics and Statistics": file to execute the analysis in STATA 10. The do-file indicates the commands corresponding to the results of each table.
2) "datagameshow.raw": data set 1 containing the data from the game show 
3) "experimental data.raw" data set 2 containing the experimental data

DESCRIPTION OF THE VARIABLES IN EACH DATA SET

DATA SET 1: DATAGAMESHOW.RAW
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variable name        	variable label
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serie           	Episode number
pid             	contestant identification number in the game
name            	first name of the contestant (string)
age             	age (years)
gender          	dummy gender (0 male 1 female)
finalscore3     	end score at the end of 3d round
totalscore      	total amount of money (both  players)
promise         	dummy contestant promises to share 
share           	dummy contestant shares 
forced          	dummy elicited promise 
outcome         	number of people sharing in the game
rank            	final ranking of the contestant
age_opp         	age opponent
gender_opp      	dummy gender opponent
promise_opp     	dummy promise opponent
forced_opp      	dummy promise opponent
share_opp       	dummy share or shaft opponent
contribution    	contestant's relative contribution to the final prize
voluntarypromise 	dummy voluntary promise
contribution_opp 	opponent's relative contribution to final prize opponent
totalscore_opp  	final prize
voluntarypromise_opp 	dummy voluntary promise opponent
mean_beautyrate 	attractiveness contestant 
mean_beautyrate_opp 	attractiveness rating opponent
contribution_low 	dummy contribution lower than 30%
contribution_medium 	dummy contribution between 30 and 70%
contribution_high 	dummy contribution > 70%
totalscore_low  	dummy prize > average prize
attractive      	dummy attractiveness > 4
old             	dummy age > 32
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DATA SET: "experimental data.raw"
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variable name                    variable label
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location                         location
rank                             final contestant rank 
rankB                            final opponent rank in last round of the game
communication                    dummy after communication in last round of the game 
predshare                        subject prediction
session                          session number
estimated_average                prior estimated average
studytype                        type of studies and occupation
genderstud                       gender subject
pd_shares                        dummy subject shares in prisoner's dilemma
subjectnr                        flag 1st observation per subject
age                              contestant age
gender                 	         contestant gender (0 male 1 female)
totalscore                       Prize in euros
promise                          dummy contestant promises to share
share                            dummy contestant shares
forced                           dummy elicited promise
contribution                     contribution to final prize
voluntarypromise                 dummy voluntary promise
mean_beautyrate                  attractiveness
playernr                         contestant identifier
donation                         charitable donation
impatient                        dummy impatient
iqtestscore                      iq test score
risk_suma                        number of safe choices
flagsubject                      flag 1st observation per subject
flagsubject1                     flag 1st observation per subject prediction after communication  
flagplayer                       flag 1st observation per contestant
earnings                         earnings for prediction
brothersandsisters               subject's  number of siblings
age2                             age subject
forcedlying                      dummy forced promise and grabs
voluntarylying                   dummy voluntary promise and grabs
dummypromise                     dummy type of promise and whether shares
correct                          dummy accurate prediction (accurate if >0.5 and contestant shares and if <0.5 and contestant grabs)
difpredshare                     belief update after communication
ln2                              log likelihood belief
update2                          log likelihood ratio update in beliefs
contribution_medium              dummy contribution between 30 and 70%
contribution_high                dummy contribution > 70%
totalscore_low                   dummy prize > average prize
attractive                       dummy attractiveness > 4
old                              dummy contestant age > 32
est_aver                         dummy prior estimated average
